ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5506MA_S5506MA
Geekbench AI Score
2960
Single Precision Score
1216
Half Precision Score
2305
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | UvarovAndrey |
| Upload Date | January 14 2025 09:02 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5506MA_S5506MA |
| Motherboard | ASUSTeK COMPUTER INC. S5506MA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1015
188.8 IPS |
|
|
Image Classification (HP)
|
0% |
0
772.4 IPS |
|
|
Image Classification (Q)
|
100% |
910
169.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1463
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6553
106.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1279
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13241
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17140
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11603
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1001
79.4 IPS |
|
|
Object Detection (HP)
|
0% |
0
352.1 IPS |
|
|
Object Detection (Q)
|
86% |
924
74.3 IPS |
|
|
Face Detection (SP)
|
100% |
1371
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
8256
98.1 IPS |
|
|
Face Detection (Q)
|
97% |
1303
15.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6203
47.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
18524
143.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
5189
41.7 IPS |
|
|
Style Transfer (SP)
|
100% |
37209
47.8 IPS |
|
|
Style Transfer (HP)
|
100% |
51457
66.1 IPS |
|
|
Style Transfer (Q)
|
98% |
28781
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6209
229.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8569
316.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4335
160.5 IPS |
|
|
Text Classification (SP)
|
86% |
828
1.12 KIPS |
|
|
Text Classification (HP)
|
99% |
609
812.8 IPS |
|
|
Text Classification (Q)
|
84% |
519
704.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1617
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1539
26.5 IPS |
|
|
Machine Translation (Q)
|
70% |
777
14.6 IPS |
